MASI, a Smartphone App to Improve Treatment Adherence Among South African Adolescents and Young Adults With HIV: Protocol for a Pilot Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Adolescents and young adults with HIV repeatedly demonstrate low rates of antiretroviral therapy (ART) adherence as well as low rates of viral suppression. Digital health interventions are a promising way to engage adolescents and young adults with HIV to support ART adherence. However, few digital health interventions have been developed and tested with adolescents and young adults in countries like South Africa, where the HIV burden among adolescents and young adults is greatest. Masakhane Siphucule Impilo Yethu (MASI; Xhosa for "Let's empower each other and improve our health") is a comprehensive ART adherence-supporting app for South African adolescents and young adults with HIV. It was culturally adapted using the HealthMpowerment platform. OBJECTIVE: The aim of this paper is to describe the protocol for a pilot randomized controlled trial examining the feasibility, acceptability, and preliminary efficacy of MASI on self-reported ART adherence and social support. METHODS: We will enroll 50 adolescents and young adults with HIV ages 15-21 years. Participants will be recruited from public ART clinics linked to a large government-funded teaching hospital in Cape Town, South Africa. Participants will be randomized 1:1 into either the intervention arm receiving a full version of MASI or the control arm receiving an information-only version of the app (n=25 per arm). Participants will be asked to engage with MASI daily for 6 months. All participants will complete baseline and follow-up assessments at 3 and 6 months. RESULTS: Study screening began in May 2022 and the first participant was enrolled on June 21, 2022. As of June 12, 2023, 81 participants have completed screeners, and 36 eligible participants have been enrolled in the pilot randomized controlled trial. Recruitment is anticipated to last through August 31, 2023, with study activities anticipated through February 29, 2024. CONCLUSIONS: There is an urgent need for innovative interventions to improve ART adherence among adolescents and young adults in settings like South Africa. If found to be feasible and acceptable, MASI could be implemented with adolescents and young adults with HIV in other parts of the country. TRIAL REGISTRATION: ClinicalTrials.gov NCT04661878; https://clinicaltrials.gov/ct2/show/study/NCT04661878. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47137.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.026 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.091 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".